Triple
T14573974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M Street SW |
E341989
|
entity |
| Predicate | followsNamingSystem |
P26745
|
FINISHED |
| Object | lettered street system of Washington, D.C. |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: lettered street system of Washington, D.C. | Statement: [M Street SW, followsNamingSystem, lettered street system of Washington, D.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsNamingSystem Context triple: [M Street SW, followsNamingSystem, lettered street system of Washington, D.C.]
-
A.
usesNamingSystem
Indicates that one entity adopts or applies a particular naming system or convention to identify or label other entities.
-
B.
followsNameOf
Indicates that one entity’s name comes immediately after another entity’s name in a specified ordering or sequence.
-
C.
followsSystem
chosen
Indicates that one entity adheres to, complies with, or operates according to a particular system, framework, or set of rules defined by another entity.
-
D.
belongsToNamingTradition
Indicates that an entity is associated with or classified under a particular naming tradition or convention.
-
E.
hasNaming
Indicates that one entity assigns, bears, or is associated with a specific name or designation provided by another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f49d58819094fcd2a702e146cb |
completed | April 14, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:24 a.m.